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Paper

Investigating Vaccine Buyer's Remorse: Post-Vaccination Decision Regret in COVID-19 Social Media Using Politically Diverse Human Annotation

by Miles Stanley arxiv/2604.09626

Free2AITools Nexus Index

35.9

S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0

P: Popularity 0

R: Recency 70

Q: Quality 60

Tech Context

Vital Performance —

A significant gap exists in datasets regarding post-COVID-19 vaccination experiences, particularly ``vaccine buyer's remorse''. Understanding the prevalence and nature of vaccine regret, whether based on personal or vicarious experiences, is vital for addressing vaccine hesitancy and refining public health communication. In this paper, we curate a novel dataset from a large YouTube news corpus capturing COVID-19 vaccination experiences, and construct a benchmark subset focused on vaccine regr...

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Paper Information Summary
Entity Passport
Registry ID	2604.09626
License	arXiv
Provider	arxiv

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Cite this paper

Academic & Research Attribution

BibTeX

@misc{arxiv_2604_09626,
  author = {Miles Stanley},
  title = {Investigating Vaccine Buyer's Remorse: Post-Vaccination Decision Regret in COVID-19 Social Media Using Politically Diverse Human Annotation Paper},
  year = {2026},
  howpublished = {\url{https://arxiv.org/abs/2604.09626}},
  note = {Accessed via Free2AITools.}
}

APA Style

Miles Stanley. (2026). Investigating Vaccine Buyer's Remorse: Post-Vaccination Decision Regret in COVID-19 Social Media Using Politically Diverse Human Annotation [Paper]. Free2AITools. https://arxiv.org/abs/2604.09626

🔬Technical Deep Dive

Full Specifications [+]

⚖️ Free2AITools Nexus Index V2.0

Methodology How FNI works

Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 0

Popularity (P) 0

Recency (R) 70

Quality (Q) 60

💬 Index Insight

FNI V2.0 for Investigating Vaccine Buyer's Remorse: Post-Vaccination Decision Regret in COVID-19 Social Media Using Politically Diverse Human Annotation: Authority (A:0), Popularity (P:0), Recency (R:70), Quality (Q:60). Semantic (S) is a query-time baseline scored live at search.

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📝 Executive Summary

"A significant gap exists in datasets regarding post-COVID-19 vaccination experiences, particularly ``vaccine buyer's remorse''. Understanding the prevalence and nature of vaccine regret, whether based on personal or vicarious experiences, is vital for addressing vaccine hesitancy and refining public health communication. In this paper, we curate a novel dataset from a large YouTube news corpus capturing COVID-19 vaccination experiences, and construct a benchmark subset focused on vaccine regr..."

❝ Cite Node

@article{Stanley2026Investigating,
  title={Investigating Vaccine Buyer's Remorse: Post-Vaccination Decision Regret in COVID-19 Social Media Using Politically Diverse Human Annotation},
  author={Miles Stanley},
  journal={arXiv preprint arXiv:2604.09626},
  year={2026}
}

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Miles Stanley

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Read the full paper on arXiv

📊 Research Signals

📅1970Published

⏱️70RecencyFNI pillar

✅60QualityFNI pillar

🗂️cs.CYField

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Source summary: Based on arXiv metadata. Not a recommendation.

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🆔 Identity & Source

id: 2604.09626
slug: 2604.09626
source: arxiv
author: Miles Stanley
license: arXiv
tags: arxiv:cs.CY, arxiv:cs.LG, arxiv:cs.SI

⚙️ Technical Specs

architecture: null
params billions: null
context length: null
pipeline tag

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stars: 0
forks: 0

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